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interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence
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stiffness by changing their composition and self-assembly process. The relationship between nanoparticle structure and stiffness will be determined both through experimental and modelling approaches. Finally
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. This will deliver an accurate model of inductively heated polymer melt-flow processing in larger scale systems. A short horizon to very significant impact is likely. An expanded understanding of these very
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process from biomass. In the PhD program, you will be involved in working with a multi-disciplinary team. You will be conducting experiments and developing phenomenological models to understand the graphite
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mentioning this scholarship, to express their interest and apply through the RMIT application process. Interested candidates who meet the eligibility criteria should contact the primary supervisor, Professor
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The aim of this project is to describe ion conduction and activation/inactivation processes by employing molecular dynamics and statistical mechanical methods. The expected outcome is an improved
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forward for a School-funded scholarship. Expertise in Human-Computer Interaction and Human-Centred Computing. Interest in Human-Centred AI and Social Computing. Aspiration to publish in leading venues
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application process where applicants must demonstrate the value of their research and their suitability for scholarship selection. Your proposal should be divided under the following headings: Title and topic
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on the basis of a competitive selection process that ranks applicants according to their academic achievement, research outputs and relevant professional experience. Priority is given to applicants who have
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. Degree and/or knowledge of core chemical engineering disciplines such as reaction engineering, kinetic and process simulation. Excellent written and verbal communication skills. Problem-solving experience